空间科学学报2026，Vol.46Issue(3)：592-603,12.DOI:10.11728/cjss2026.03.2025-0134
基于相位编组与多级阈值的太阳射电Ⅲ型暴自动检测算法
Automated Detection Method for Solar Radio Type Ⅲ Bursts Using Phase Clustering and Hierarchical Thresholding
摘要
Abstract
Solar radio type Ⅲ bursts are among the most common types of radio bursts in solar activi-ties.They are characterized by features such as rapid frequency drift and serve as a precursor tracer for solar activity events like solar flares and coronal mass ejections.Existing identification methods face problems such as weak capability in detecting continuous bursts and insufficient learning with small samples,leading to high false detection rates and low recall rates.To address these shortcomings,this paper proposes an adaptive contour detection algorithm based on the phase grouping method.This method integrates gray gradient phase information with multi-level threshold filtering,fits the spectral contour of solar radio type Ⅲ bursts through morphological operations,and realizes the automatic iden-tification of the spectrum of solar radio type Ⅲ bursts.Applied to the observation dataset from the Chengjiang Meter-wave Solar Radio Telescope of Yunnan Observatory,it has been verified that this method achieves a 93.5％recall rate in identifying solar radio type Ⅲ bursts.关键词
太阳射电Ⅲ型暴/相位编组法/多级阈值/形态学/自动识别Key words
Solar radio type Ⅲ bursts/Phase grouping method/Multi-level threshold/Morphology/Automatic recognition分类
天文与地球科学引用本文复制引用
张洪瑞,董亮,何乐生,黄文耿,王晶,ZAINAL ABIDIN Zamri Bin,杨凤辉,高冠男..基于相位编组与多级阈值的太阳射电Ⅲ型暴自动检测算法[J].空间科学学报,2026,46(3):592-603,12.基金项目
云南省重点研发项目(202303AP140003),乌鲁木齐市"红山科创英才"集聚计划科技"小组团"人才项目(B241018006)和国家重点研发计划项目(2020SKA0110202,2022YFE0140000)共同资助 （202303AP140003）
